Results 101 to 110 of about 176,190 (308)

The Contribution of Blood Serum Biomarkers to the Prediction of Cognitive Decline by fMRI and Apolipoprotein-E in Healthy Older Adults [PDF]

, 2012
Biomarkers are a promising approach to the prediction and early intervention of Alzheimer\u27s disease. We demonstrated that cortical functional MRI (fMRI) activation during a semantic memory task and apolipoprotein-E ?4 allele inheritance (APOE?4 ...
Durgerian, Sally, Nielson, Kristy A., Rao, Stephen M., Seidenberg, Michael, Smith, J. Carson, Sugarman, Michael, Woodard, John L.   +6 more
core   +2 more sources

Association of Apolipoprotein e2 Allele with Insulin Resistance and Risk of Type 2 Diabetes Mellitus Among an Admixed Population of Mexico

Diabetes, Metabolic Syndrome and Obesity, 2020
Karina Gonzalez-Aldaco, Sonia Roman, Luis A Torres-Reyes, Arturo Panduro Department of Molecular Biology in Medicine, Civil Hospital of Guadalajara “Fray Antonio Alcalde”, Health Sciences Center, University of Guadalajara, Guadalajara ...
Gonzalez-Aldaco K, Roman S, Torres-Reyes LA, Panduro A   +3 more
doaj  

Effect of fenofibrate and atorvastatin on VLDL apoE metabolism in men with the metabolic syndrome

Journal of Lipid Research, 2012
We examined the effects of fenofibrate and atorvastatin on very low density lipoprotein (VLDL) apolipoprotein (apo)E metabolism in the metabolic syndrome (MetS). We studied 11 MetS men in a randomized, double-blind, crossover trial.
Esther M.M. Ooi, Theodore W.K. Ng, Gerald F. Watts, Dick C. Chan, P. Hugh R. Barrett   +4 more
doaj   +1 more source

Apolipoprotein E4, inhibitory network dysfunction, and Alzheimer's disease. [PDF]

, 2019
Apolipoprotein (apo) E4 is the major genetic risk factor for Alzheimer's disease (AD), increasing risk and decreasing age of disease onset. Many studies have demonstrated the detrimental effects of apoE4 in varying cellular contexts.
Huang, Yadong, Jones, Emily A, Najm, Ramsey   +2 more
core   +1 more source

A Robust Deep Temporal Causal Discovery Platform for Single‐Cell Gene Regulatory Network Reconstruction

Advanced Intelligent Discovery, EarlyView.
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta, Madison Dautle, Shaoqiang Zhang, Yong Chen   +3 more
wiley   +1 more source

OXidative Stress PREDictor: A Supervised Learning Approach for Annotating Cellular Oxidative Stress States in Inflammatory Cells

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
OxSpred, an eXtreme‐Gradient‐Boosting‐‐based supervised learning model, accurately annotates oxidative stress in innate immune cells at the single‐cell level, providing interpretable embeddings with significant biological relevance. This innovative tool revolutionizes the understanding of innate immune cell functions during inflammation and enhances ...
Po‐Yuan Chen, Tai‐Ming Ko
wiley   +1 more source

Olfactory Bulb Volume Reflects Olfactory Dysfunction and Network Organization: Insights From the Population‐Based Rhineland Study

International Forum of Allergy &Rhinology, EarlyView.
ABSTRACT Background Olfactory dysfunction is common in aging and an early symptom of neurodegenerative diseases, but how structural (olfactory bulb [OB] volume) and functional (olfactory network [OFN] functional connectivity [FC]) brain features interact to shape odor identification ability remains unclear.
Weiyi Zeng, Konstantinos Melas, Santiago Estrada, N. Ahmad Aziz, Monique M. B. Breteler   +4 more
wiley   +1 more source

Quantitative proteomics identifies clusterin as a novel biomarker for atherosclerosis

Animal Models and Experimental Medicine, EarlyView.
This schematic illustrates the proposed mechanism. In advanced atherosclerotic lesions, upregulated CLU on the cell surface activates low‐density lipoprotein (LDL) receptor‐related protein 1 (LRP1). This interaction triggers the phosphorylation and activation of AKT.
Dengfeng Ding, Yingjie Zhang, Li Zhang, Xinou Zheng, Miaomiao Niu, Yunxiao Jia, Xuezhuang Li, Hua Chen, Chao Guo, Tao Jiang, Yuqiong Zhao   +10 more
wiley   +1 more source

A protocol for the study of environmental risk factors and candidate gene–environment interactions in neurodegenerative disorders in Nigeria (SERGEND): A cross-sectional descriptive study

Journal of Clinical Sciences
Introduction: The risk of developing neurodegenerative disorders (NDDs) such as Alzheimer’s disease and related dementias (ADRD) and Parkinson’s disease and atypical parkinsonism (PDAP), has been alluded to arise predominantly from the interplay between ...
Oluwadamilola Omolara Ojo, Osigwe P Agabi, Ismail O Ishola, Olajumoke O Oshinaike, Sani A Abubakar, Kolawole W Wahab, Abiodun H Bello, Rufus O Akinyemi, Uduak Williams, Simon I Ozomma, Oluchi Ekenze, Emmanuel Iwuozo, Yakub W Nyandaiti, Francis I Ojini, Henry Houlden, John Hardy, Njideka Ulunma Okubadejo   +16 more
doaj   +1 more source

Multi‐omics data mining combined with experimental validation reveals ferroptosis‐ and autophagy‐associated hub genes as diagnostic candidates and immune modulators in atherosclerosis

Animal Models and Experimental Medicine, EarlyView.
Using the GSE225650 dataset, we performed differential expression gene (DEG) screening, Weighted Gene Coexpression Network Analysis (WGCNA), and immune infiltration profiling on atherosclerosis (AS) samples, yielding 104 shared candidate genes. Subsequently, these 104 candidate genes were intersected with ferroptosis‑ and autophagy‑related gene sets ...
Xinou Zheng, Jinling Zheng, Xuezhuang Li, Hua Chen, Li Zhang, Yuqiong Zhao, Yahao Ling   +6 more
wiley   +1 more source